Help me, Doctor AI? A cross-national experiment on the effects of disease threat and stigma on AI health information-seeking intentions

Generative AI chatbots are emerging as novel sources for health information. Adopting a cross-national perspective, this study examines how disease-related factors—namely, disease threat and stigma—influence both individuals’ intentions to seek health information via generative AI and their preferences for AI compared to traditional interpersonal sources like doctors and peers. In a preregistered 2x2 online experiment, participants from Austria, Denmark, France, and Serbia ( N total = 1,951) encountered written scenarios about their health that manipulated disease threat (low vs. high) and stigma (low vs. high). The sample was stratified to ensure representativeness for age, gender, and educational level across the countries studied. Results showed no main effect of disease threat on AI information-seeking intentions, but stigma significantly influenced preferences, particularly in mild health conditions. Participants were more likely to consult AI over peers for stigmatized conditions, highlighting the role of AI’s anonymous interface in reducing social judgment. Country differences further revealed that national contexts also shape AI adoption: while participants in Denmark and France showed a stronger preference for AI over peers, those in Serbia and Austria preferred peers over AI. Additionally, AI trust and literacy emerged as the strongest predictors of both AI usage intentions and preferences. These findings indicate that gen AI tools can play a complementary role in the health information ecosystem, particularly for stigmatized conditions and in contexts where traditional sources are perceived as less accessible or judgment-free. • Disease threat did not significantly influence intentions to use Gen AI for health information. • Stigma increased Gen AI use over peers, especially for mild but stigmatized conditions. • Cross-national differences reveal cultural impacts on Gen AI health information-seeking. • AI trust and literacy emerged as key predictors of Gen AI adoption for health contexts. • Findings highlight Gen AI’s role as a supplementary resource, not a replacement for doctors.

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Publication Details

Journal
Computers in Human Behavior
Published
2025-05-30
DOI
https://doi.org/10.1016/j.chb.2025.108718
Citations
7
Primary Topic
Health disparities and outcomes
Type
article
Field-Weighted Citation Impact
15.17

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article

Help me, Doctor AI? A cross-national experiment on the effects of disease threat and stigma on AI health information-seeking intentions

Knud Ryom, Ljubiša Bojić, Corina Paraschiv, Helle Terkildsen Maindal et al.
7 citations
Computers in Human Behavior
Health disparities and outcomes
15.17
article

Help me, Doctor AI? A cross-national experiment on the effects of disease threat and stigma on AI health information-seeking intentions

Knud Ryom, Ljubiša Bojić, Corina Paraschiv, Helle Terkildsen Maindal, Anne Reinhardt, Jörg Matthes
article en
7 citations

Abstract

Generative AI chatbots are emerging as novel sources for health information. Adopting a cross-national perspective, this study examines how disease-related factors—namely, disease threat and stigma—influence both individuals’ intentions to seek health information via generative AI and their preferences for AI compared to traditional interpersonal sources like doctors and peers. In a preregistered 2x2 online experiment, participants from Austria, Denmark, France, and Serbia ( N total = 1,951) encountered written scenarios about their health that manipulated disease threat (low vs. high) and stigma (low vs. high). The sample was stratified to ensure representativeness for age, gender, and educational level across the countries studied. Results showed no main effect of disease threat on AI information-seeking intentions, but stigma significantly influenced preferences, particularly in mild health conditions. Participants were more likely to consult AI over peers for stigmatized conditions, highlighting the role of AI’s anonymous interface in reducing social judgment. Country differences further revealed that national contexts also shape AI adoption: while participants in Denmark and France showed a stronger preference for AI over peers, those in Serbia and Austria preferred peers over AI. Additionally, AI trust and literacy emerged as the strongest predictors of both AI usage intentions and preferences. These findings indicate that gen AI tools can play a complementary role in the health information ecosystem, particularly for stigmatized conditions and in contexts where traditional sources are perceived as less accessible or judgment-free. • Disease threat did not significantly influence intentions to use Gen AI for health information. • Stigma increased Gen AI use over peers, especially for mild but stigmatized conditions. • Cross-national differences reveal cultural impacts on Gen AI health information-seeking. • AI trust and literacy emerged as key predictors of Gen AI adoption for health contexts. • Findings highlight Gen AI’s role as a supplementary resource, not a replacement for doctors.

Computers in Human BehaviorVol. 172
University of Vienna (AT), Aarhus University (DK), Université Paris Cité (FR), University of Belgrade (RS), Sorbonne Paris Cité (FR), Scientific Veterinary Institute "Novi Sad" (RS), Ludwig-Maximilians-Universität München (DE)
Universität Wien
Openalex Percentile: Top 1%
Health disparities and outcomes
15.17
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